Real-Time Viable User Determination

2. The method of claim 1, wherein the one or more current usage patterns for the user device comprise information received within a predetermined amount of time.

3. The method of claim 1, wherein the application that is accessible via the user device is associated with a third-party service provider.

5. The method of claim 1, wherein the information about the one or more current usage patterns for the user device comprises sensor data collected from one or more sensors installed within the user device.

6. The method of claim 5, wherein the sensor data comprises data collected from at least one of an accelerometer or a gyroscope.

8. The computing device of claim 7, wherein comparing the profile data to the information about current usage patterns comprises providing the profile data and information about current usage patterns to a machine learning model trained to determine similarities between given profile data and given usage patterns.

9. The computing device of claim 7, wherein the request is received from a browser application executed upon the user device and the likelihood value is used to determine whether to provide a session token to a website accessed via the browser application.

10. The computing device of claim 7, wherein the likelihood value comprises a percentage probability that the potential user is a user associated with the profile data.

11. The computing device of claim 7, wherein the one or more current usage patterns for the user device comprise information received within a predetermined amount of time.

12. The computing device of claim 7, wherein the instructions further cause the computing device to determine whether the likelihood value is greater than the predetermined threshold.

13. The computing device of claim 7, wherein the information about the one or more current usage patterns for the user device comprises sensor data collected from one or more sensors installed within the user device.

14. The computing device of claim 13, wherein the sensor data comprises data collected from at least one of an accelerometer or a gyroscope.

15. The computing device of claim 7, wherein the profile data comprises aggregated information about typical interactions between the potential user and the user device.

16. The computing device of claim 15, wherein the profile data comprises information about a manner in which the potential user typically holds the user device, a gait or walking speed that the user typically maintains, or keystroke information.

18. The computer-readable media of claim 17, wherein the information about the one or more current usage patterns for the user device comprises sensor data collected from one or more sensors installed within the user device.

19. The computer-readable media of claim 18, wherein the sensor data comprises data collected from at least one of an accelerometer or a gyroscope.